Edge & AI Infrastructure
When L3 is Dead: Orchestrating and Rescuing Disconnected Edge Nodes
Cloud orchestration assumes DNS, DHCP, and reachable gateways. When edge devices operate in air-gapped or disconnected states, here is how Layer 2 protocols, fallback ladders, and dead-man switch recovery save the fleet.
Edge & AI Infrastructure
Part 5: The Memory Wall — Storing Reality for World Models
How to curate, store, and process continuous multimodal reality streams for World Model learning and simulation.
Networking & Telecom
Part 4: Deterministic Networks for Physical AI
Why best-effort networking is not enough for Physical AI, and how Deterministic Ethernet (TSN) solves the temporal synchronization problem.
Edge & AI Infrastructure
Part 3: The Compute Split - Edge vs Cloud in Physical AI
Physical AI cannot rely on cloud latency for real-time control. Explore how edge inference and cloud simulation divide the compute, data, and learning workloads.
Edge & AI Infrastructure
Part 2: World Models Hit the Data Ingestion Wall
Edge & AI Infrastructure
The AI Infrastructure Shift: Why World Models Change Everything
Engineering Leadership
Guardrails or Speed Limits?
Career Notes
When Coding Becomes Cheap, Engineering Becomes Rare
Networking & Telecom
Networking in the Age of AI Workloads: InfiniBand vs RoCE vs Cloud Networking
Networking & Telecom
The Evolution of Networking: Paving the Road for AI, GenAI, and AGI